Triple
T3002531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northampton |
E81821
|
entity |
| Predicate | hasNotableArea |
P494
|
FINISHED |
| Object | Abington |
E319329
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Abington | Statement: [Northampton, hasNotableArea, Abington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abington Context triple: [Northampton, hasNotableArea, Abington]
-
A.
Abington
Abington is a small suburban town in Plymouth County, southeastern Massachusetts, known for its residential character and proximity to Boston.
-
B.
Abington Park
chosen
Abington Park is a large historic public park in Northampton, England, known for its open green spaces, lakes, museum, and recreational facilities.
-
C.
Lutherville-Timonium
Lutherville-Timonium is a suburban community in Maryland known for its residential neighborhoods, commuter access to Baltimore, and the Maryland State Fairgrounds.
-
D.
Langhorne
Langhorne is the middle name of Samuel Langhorne Clemens, better known by his pen name Mark Twain, the famed American author and humorist.
-
E.
Langhorne
Langhorne is a surname most notably associated with Crystal Langhorne, an American professional basketball player who starred in the WNBA.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1371c481909e214234afed1a65 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eee3e7dc8190941407d73fc56e0f |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.